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Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development
The correlation between structure and function lies at the heart of materials science and engineering. Especially, modern functional materials usually contain inhomogeneities at an atomic level, endowing them with interesting properties regarding electrons, phonons, and magnetic moments. Over the pa...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967088/ https://www.ncbi.nlm.nih.gov/pubmed/33747741 http://dx.doi.org/10.1002/advs.202003534 |
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author | Zhu, He Huang, Yalan Ren, Jincan Zhang, Binghao Ke, Yubin Jen, Alex K.‐Y. Zhang, Qiang Wang, Xun‐Li Liu, Qi |
author_facet | Zhu, He Huang, Yalan Ren, Jincan Zhang, Binghao Ke, Yubin Jen, Alex K.‐Y. Zhang, Qiang Wang, Xun‐Li Liu, Qi |
author_sort | Zhu, He |
collection | PubMed |
description | The correlation between structure and function lies at the heart of materials science and engineering. Especially, modern functional materials usually contain inhomogeneities at an atomic level, endowing them with interesting properties regarding electrons, phonons, and magnetic moments. Over the past few decades, many of the key developments in functional materials have been driven by the rapid advances in short‐range crystallographic techniques. Among them, pair distribution function (PDF) technique, capable of utilizing the entire Bragg and diffuse scattering signals, stands out as a powerful tool for detecting local structure away from average. With the advent of synchrotron X‐rays, spallation neutrons, and advanced computing power, the PDF can quantitatively encode a local structure and in turn guide atomic‐scale engineering in the functional materials. Here, the PDF investigations in a range of functional materials are reviewed, including ferroelectrics/thermoelectrics, colossal magnetoresistance (CMR) magnets, high‐temperature superconductors (HTSC), quantum dots (QDs), nano‐catalysts, and energy storage materials, where the links between functions and structural inhomogeneities are prominent. For each application, a brief description of the structure‐function coupling will be given, followed by selected cases of PDF investigations. Before that, an overview of the theory, methodology, and unique power of the PDF method will be also presented. |
format | Online Article Text |
id | pubmed-7967088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79670882021-03-19 Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development Zhu, He Huang, Yalan Ren, Jincan Zhang, Binghao Ke, Yubin Jen, Alex K.‐Y. Zhang, Qiang Wang, Xun‐Li Liu, Qi Adv Sci (Weinh) Reviews The correlation between structure and function lies at the heart of materials science and engineering. Especially, modern functional materials usually contain inhomogeneities at an atomic level, endowing them with interesting properties regarding electrons, phonons, and magnetic moments. Over the past few decades, many of the key developments in functional materials have been driven by the rapid advances in short‐range crystallographic techniques. Among them, pair distribution function (PDF) technique, capable of utilizing the entire Bragg and diffuse scattering signals, stands out as a powerful tool for detecting local structure away from average. With the advent of synchrotron X‐rays, spallation neutrons, and advanced computing power, the PDF can quantitatively encode a local structure and in turn guide atomic‐scale engineering in the functional materials. Here, the PDF investigations in a range of functional materials are reviewed, including ferroelectrics/thermoelectrics, colossal magnetoresistance (CMR) magnets, high‐temperature superconductors (HTSC), quantum dots (QDs), nano‐catalysts, and energy storage materials, where the links between functions and structural inhomogeneities are prominent. For each application, a brief description of the structure‐function coupling will be given, followed by selected cases of PDF investigations. Before that, an overview of the theory, methodology, and unique power of the PDF method will be also presented. John Wiley and Sons Inc. 2021-01-22 /pmc/articles/PMC7967088/ /pubmed/33747741 http://dx.doi.org/10.1002/advs.202003534 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews Zhu, He Huang, Yalan Ren, Jincan Zhang, Binghao Ke, Yubin Jen, Alex K.‐Y. Zhang, Qiang Wang, Xun‐Li Liu, Qi Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development |
title | Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development |
title_full | Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development |
title_fullStr | Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development |
title_full_unstemmed | Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development |
title_short | Bridging Structural Inhomogeneity to Functionality: Pair Distribution Function Methods for Functional Materials Development |
title_sort | bridging structural inhomogeneity to functionality: pair distribution function methods for functional materials development |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967088/ https://www.ncbi.nlm.nih.gov/pubmed/33747741 http://dx.doi.org/10.1002/advs.202003534 |
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